More generally, this research has demonstrated how quantum approaches to machine learning may prove beneficial. In practical usage, machine learning applications of quantum theory have begun involving developments of physical circuitry [1]}. These contributions have begun to realise the quantum processing components required to build quantum computational devices designed solely for
feature classification. It is inspiring to think that eventually, SVM classification may ( with the assistance of quantum theory) be computed substantially faster than ever before.
